Prismadic / simple-CMambaLinks
An unofficial, simple pytorch implementation of the paper "C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting".
☆14Updated last year
Alternatives and similar repositories for simple-CMamba
Users that are interested in simple-CMamba are comparing it to the libraries listed below
Sorting:
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆38Updated 10 months ago
- Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"☆15Updated 6 months ago
- ☆24Updated last year
- MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting☆12Updated last year
- Official implementation of the paper "Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting".☆24Updated 9 months ago
- LCDFormer☆11Updated last year
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆29Updated last year
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆35Updated 2 years ago
- ☆63Updated last month
- ☆11Updated last year
- ☆18Updated 2 years ago
- Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting☆48Updated last year
- ☆36Updated 10 months ago
- ☆11Updated 8 months ago
- Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.☆28Updated last year
- ☆47Updated last year
- ☆48Updated 6 months ago
- Code for the paper Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting☆31Updated last year
- MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification [AAAI 2025]☆30Updated 7 months ago
- ☆36Updated 3 months ago
- Time Series Forecasting with Dynamic Graph Modeling☆14Updated 2 months ago
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆71Updated 4 months ago
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆49Updated 2 years ago
- Code release of paper "FAITH: Frequency-domain Attention In Two Horizons for Long-term time series forecasting"☆18Updated 4 months ago
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆14Updated 10 months ago
- Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting☆45Updated 3 months ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆89Updated 7 months ago
- Official implementations of "Frequency-masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning (AA…☆20Updated 4 months ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆29Updated 2 months ago
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆72Updated last year